Mindstone London AI May Meetup

Inspire St James, Inspire Saint James, Clerkenwell Close, London EC1R 0EA

Welcome to the biggest Practical AI Meetup in London!

Join us once a month as we explore the world of artificial intelligence, its cutting-edge practical applications, and the astonishing projects that are shaping our future.

Why should you attend?

Get up close and personal with the AI projects that are redefining the boundaries of technology and human potential. Learn from the brightest minds in the field and gain valuable insights into the ever-evolving AI landscape. Unleash your curiosity, fuel your creativity, and expand your network as you connect with fellow AI aficionados and pioneers.

What you can expect?

Mindstone events consist of three talks covering different aspects:

What I Learned Building With LLMs: A technical talk breaking down the process for building a product using AI with real-life learnings and insights. How To Be More Productive Using AI: A practical demo and step-by-step guide on how to use AI to speed up and improve tasks. What Does The Future Look Like With AI?: A theoretical talk on the impact of AI on work, life and society.

After the talks we'll have pizza, drinks, and time to connect with everyone around you.

Don't miss the opportunity to see what's really happening in AI - you'll be surprised at what's already possible today.

We have limited spots available, so get your ticket ahead of time to avoid disappointment!

Agenda

Doors Open

Welcome to the event

Introduction

Welcome and event introduction

Meet the Academic AI Agents by Sofia Fenichell

Every student deserves a team of personalised learning agents by their side 24/7. And teachers should have their own team of Classroom Co-Pilots working for them. We'll show you an Academic AI Agent workforce designed to bring down education costs and accelerate attainment. We're also the only company to have childsafe AI approved by Google.

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Project Becoming: Hacking Personal Transformation with AI and Long-Term Goals by Nikita Koselev

Join me for an honest, demo-driven journey into how embracing a “slow down to speed up” mindset—paired with an AI Mentor—can accelerate your path to a 1-/10-/20-year vision. You’ll see how to: Internal Morning Intentions: – Start each day with a silent mindset check, using the mental framework co-developed with AI to zero in on your most impactful action before the day begins. Weekly Sync Ritual: – Reconnect every week with your Mentor to celebrate wins, surface lessons, and realign your sprint plan using AI-powered templates inspired by 12 Week Year. Pacing for Momentum: – Leverage strategic pauses and manageable deep-work blocks—guided by AI prompts—to build sustainable, compounding progress toward your 1-year “above & beyond,” 10-year intrapreneur, and 20-year entrepreneurial goals. You’ll walk away with a plug-and-play blueprint for a human-AI coaching loop that turns mindful reflection into measurable results—so you can move deliberately today and achieve ambitious horizons tomorrow.

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Prompt Masters: How We're Teaching the Next Generation of AI Collaborators by Clark Boyd

In Novela's AI Marketing Simulation, we've created more than just a marketing exercise - we've built an environment that teaches people how to effectively collaborate with AI. This talk explores how we designed a system where students are directly incentivized to improve their prompting skills, with measurable results that demonstrate the value of effective AI collaboration. We'll share practical insights on how we structured the simulation to reward good prompting, how Ela (our AI copilot) enhances decision-making, and the mechanics that make this educational approach successful. The simulation will be used by students worldwide, including at Kellogg, Columbia, and Imperial College business schools.

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Wrap Up

Closing remarks and next steps

Pizza, Drinks & Networking

Casual networking with food and drinks

Speakers

Attendees

Details

Free - 343 spots left

Inspire St James, Inspire Saint James, Clerkenwell Close, London EC1R 0EA

Location